Julian Katz-Samuels

According to our database, Julian Katz-Samuels authored at least 20 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

InfoPO: On Mutual Information Maximization for Large Language Model Alignment.

Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.

Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

HYPO: Hyperspherical Out-Of-Distribution Generalization.

Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evolutionary Contrastive Distillation for Language Model Alignment.

Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

GALAXY: Graph-based Active Learning at the Extreme.

Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak

Proceedings of the International Conference on Machine Learning, 2022

Training OOD Detectors in their Natural Habitats.

Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

Near Instance Optimal Model Selection for Pure Exploration Linear Bandits.

Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.

Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.

Julian Katz-Samuels, Blake Mason, Kevin G. Jamieson, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Algorithms for Agnostic Pool-based Active Classification.

Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson

Proceedings of the 38th International Conference on Machine Learning, 2021

High-dimensional Experimental Design and Kernel Bandits.

Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels

Proceedings of the 38th International Conference on Machine Learning, 2021

Experimental Design for Regret Minimization in Linear Bandits.

Andrew Wagenmaker, Julian Katz-Samuels, Kevin G. Jamieson

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.

Julian Katz-Samuels, Lalit Jain, Zohar Karnin, Kevin G. Jamieson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The True Sample Complexity of Identifying Good Arms.

Julian Katz-Samuels, Kevin G. Jamieson

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Decontamination of Mutual Contamination Models.

Julian Katz-Samuels, Gilles Blanchard, Clayton Scott

J. Mach. Learn. Res., 2019

Top Feasible Arm Identification.

Julian Katz-Samuels, Clayton Scott

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.

Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Feasible Arm Identification.

Julian Katz-Samuels, Clayton Scott

Proceedings of the 35th International Conference on Machine Learning, 2018

Nonparametric Preference Completion.

Julian Katz-Samuels, Clayton Scott

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

The Legislative Influence Detector: Finding Text Reuse in State Legislation.

Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016